A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the Separation of Anisotropic Penalties (SAP) algorithm. SAP was originally derived for the estimation of the smoothing parameters of a multidimensional tensor product P-spline model with anisotropic penalties.MTM2014-55966-P MTM2014-52184-
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex...
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. W...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
P-spline models have achieved great popularity both in statistical and in applied research. A possi...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex...
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. W...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
P-spline models have achieved great popularity both in statistical and in applied research. A possi...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalize...
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex...